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App Store Engineering. CI/CD for Mobile (EAS), OTA Updates, and AI-Driven App Store Optimization
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About
About the Book
Master the complete pipeline of modern mobile software delivery, automated deployment, and AI-driven app monetization!
Transitioning a mobile application from a local development environment (npm start) to a live product on the Apple App Store and Google Play Store requires far more than basic coding skills. It demands a robust, production-grade cloud delivery system. App Store Engineering for Mobile AI Applications is the comprehensive guide to building, automating, and scaling production-ready mobile apps using Expo Application Services (EAS), React Native, Next.js Edge Runtimes, and Generative AI.
- Cloud Orchestration with EAS: Set up immutable build environments, automated code-signing, dynamic build profiles, and seamless App Store submissions.
- Instant Over-The-Air (OTA) Updates: Learn how to deploy JavaScript patches, manage multi-channel rollouts, and execute instant rollbacks without waiting for store reviews.
- Automated Testing & AI Triage: Run end-to-end mobile tests with Maestro and Detox, utilizing AI-driven log analysis to detect and fix flakiness in CI/CD pipelines.
- Production Telemetry & Observability: Implement Sentry for native symbolication/crash reporting and PostHog for AI model telemetry (latency, token costs, and user sentiment).
- AI-Driven App Store Optimization (ASO): Build automated pipelines using GPT-4, DALL-E 3, and Vector Databases (Pinecone) to generate high-converting localized copy and pixel-perfect screenshots.
- RevenueCat & AI Paywall Architecture: Gate AI features securely using server-side receipt validation, dynamic pricing strategies, and JWT entitlement verification.
- Compliance, Tax, & Rejections: Navigate Apple/Google commission brackets, global VAT/GST compliance, Privacy Manifests, and automated rejection appeal workflows.
Designed for React Native developers, full-stack TypeScript engineers, and AI SaaS builders who want to automate release workflows, secure revenue streams, and maintain enterprise-grade app stability.
Stop guessing your app deployment strategy. Build a continuous, automated, and highly profitable App Store engineering pipeline today!
Table of contents
Chapter 1: Introduction to EAS (Expo Application Services)
Chapter 2: Configuring EAS Build for iOS and Android
Chapter 3: Managing Secrets & Environment Variables
Chapter 4: Automated Testing with Detox/Maestro
Chapter 5: Submitting to TestFlight & Internal Testing
Chapter 6: Over-The-Air (OTA) Updates with EAS Update
Chapter 7: Versioning Strategies
Chapter 8: Crash Reporting (Sentry for Mobile)
Chapter 9: Analytics for AI Features (PostHog Mobile)
Chapter 10: Performance Monitoring in Production
Chapter 11: Generating App Store Screenshots with AI
Chapter 12: Writing SEO-Optimized Descriptions using GPT
Chapter 13: Localizing Store Listings Automatically
Chapter 14: Analyzing User Reviews with Sentiment Analysis
Chapter 15: Handling App Store Rejections
Chapter 16: RevenueCat Integration (In-App Purchases)
Chapter 17: Implementing Paywalls for AI Features
Chapter 18: Apple/Google Tax Compliance
Chapter 19: Marketing your Mobile AI App
Chapter 20: Final Capstone - From `npm start` to The App Store
If printed, this ebook would span over 350 pages. Each chapter is structured into theoretical foundations, an annotated basic example, an annotated advanced example, and five coding exercises based on real-world scenarios with complete solutions.
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Author
About the Author
Edgar Milvus
A veteran software engineer with 20 years of experience, I have dedicated my career to the art of automation. My philosophy is simple: programming should eliminate repetitive chores to unlock human creativity. This journey began early on with the development of custom code-generation tools and has evolved into a deep mastery of LLMs and their APIs. Today, I specialize in architecting AI-driven solutions that handle everything from complex coding and security tasks to advanced knowledge retrieval, transforming the way we interact with technology
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